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  Subjects -> METEOROLOGY (Total: 106 journals)
Showing 1 - 36 of 36 Journals sorted alphabetically
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 4)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 42)
Advances in Climate Change Research     Open Access   (Followers: 59)
Advances in Meteorology     Open Access   (Followers: 23)
Advances in Statistical Climatology, Meteorology and Oceanography     Open Access   (Followers: 11)
Aeolian Research     Hybrid Journal   (Followers: 7)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 20)
American Journal of Climate Change     Open Access   (Followers: 41)
Atmósfera     Open Access   (Followers: 2)
Atmosphere     Open Access   (Followers: 33)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 15)
Atmospheric and Oceanic Science Letters     Open Access   (Followers: 9)
Atmospheric Chemistry and Physics (ACP)     Open Access   (Followers: 43)
Atmospheric Chemistry and Physics Discussions (ACPD)     Open Access   (Followers: 14)
Atmospheric Environment     Hybrid Journal   (Followers: 72)
Atmospheric Environment : X     Open Access   (Followers: 3)
Atmospheric Research     Hybrid Journal   (Followers: 71)
Atmospheric Science Letters     Open Access   (Followers: 39)
Boundary-Layer Meteorology     Hybrid Journal   (Followers: 29)
Bulletin of Atmospheric Science and Technology     Hybrid Journal   (Followers: 5)
Bulletin of the American Meteorological Society     Open Access   (Followers: 62)
Carbon Balance and Management     Open Access   (Followers: 6)
Ciencia, Ambiente y Clima     Open Access   (Followers: 1)
Climate     Open Access   (Followers: 6)
Climate and Energy     Full-text available via subscription   (Followers: 7)
Climate Change Economics     Hybrid Journal   (Followers: 50)
Climate Change Responses     Open Access   (Followers: 27)
Climate Dynamics     Hybrid Journal   (Followers: 44)
Climate Law     Hybrid Journal   (Followers: 7)
Climate of the Past (CP)     Open Access   (Followers: 7)
Climate of the Past Discussions (CPD)     Open Access   (Followers: 1)
Climate Policy     Hybrid Journal   (Followers: 56)
Climate Research     Hybrid Journal   (Followers: 8)
Climate Resilience and Sustainability     Open Access   (Followers: 29)
Climate Risk Management     Open Access   (Followers: 12)
Climate Services     Open Access   (Followers: 4)
Climatic Change     Open Access   (Followers: 71)
Current Climate Change Reports     Hybrid Journal   (Followers: 22)
Dynamics and Statistics of the Climate System     Open Access   (Followers: 6)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 18)
Earth Perspectives - Transdisciplinarity Enabled     Open Access   (Followers: 1)
Economics of Disasters and Climate Change     Hybrid Journal   (Followers: 17)
Energy & Environment     Hybrid Journal   (Followers: 26)
Environmental and Climate Technologies     Open Access   (Followers: 3)
Environmental Dynamics and Global Climate Change     Open Access   (Followers: 24)
Frontiers in Climate     Open Access   (Followers: 4)
GeoHazards     Open Access   (Followers: 2)
Global Meteorology     Open Access   (Followers: 17)
International Journal of Atmospheric Sciences     Open Access   (Followers: 24)
International Journal of Biometeorology     Hybrid Journal   (Followers: 3)
International Journal of Climate Change Strategies and Management     Hybrid Journal   (Followers: 33)
International Journal of Climatology     Hybrid Journal   (Followers: 28)
International Journal of Environment and Climate Change     Open Access   (Followers: 24)
International Journal of Image and Data Fusion     Hybrid Journal   (Followers: 3)
Journal of Agricultural Meteorology     Open Access  
Journal of Applied Meteorology and Climatology     Hybrid Journal   (Followers: 42)
Journal of Atmospheric and Oceanic Technology     Hybrid Journal   (Followers: 33)
Journal of Atmospheric and Solar-Terrestrial Physics     Hybrid Journal   (Followers: 164)
Journal of Atmospheric Chemistry     Hybrid Journal   (Followers: 23)
Journal of Climate     Hybrid Journal   (Followers: 55)
Journal of Climate Change     Full-text available via subscription   (Followers: 25)
Journal of Climate Change and Health     Open Access   (Followers: 6)
Journal of Climatology     Open Access   (Followers: 3)
Journal of Economic Literature     Hybrid Journal   (Followers: 19)
Journal of Hydrology and Meteorology     Open Access   (Followers: 39)
Journal of Hydrometeorology     Hybrid Journal   (Followers: 9)
Journal of Integrative Environmental Sciences     Hybrid Journal   (Followers: 4)
Journal of Meteorological Research     Full-text available via subscription   (Followers: 3)
Journal of Meteorology and Climate Science     Full-text available via subscription   (Followers: 19)
Journal of Space Weather and Space Climate     Open Access   (Followers: 30)
Journal of the Atmospheric Sciences     Hybrid Journal   (Followers: 79)
Journal of the Meteorological Society of Japan     Partially Free   (Followers: 7)
Journal of Weather Modification     Full-text available via subscription   (Followers: 3)
Mediterranean Marine Science     Open Access   (Followers: 2)
Meteorologica     Open Access   (Followers: 2)
Meteorological Applications     Open Access   (Followers: 4)
Meteorological Monographs     Hybrid Journal   (Followers: 1)
Meteorologische Zeitschrift     Full-text available via subscription   (Followers: 4)
Meteorology and Atmospheric Physics     Hybrid Journal   (Followers: 28)
Mètode Science Studies Journal : Annual Review     Open Access  
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Modeling Earth Systems and Environment     Hybrid Journal   (Followers: 1)
Monthly Notices of the Royal Astronomical Society     Hybrid Journal   (Followers: 14)
Monthly Weather Review     Hybrid Journal   (Followers: 29)
Nature Climate Change     Full-text available via subscription   (Followers: 153)
Nature Reports Climate Change     Full-text available via subscription   (Followers: 40)
Nīvār     Open Access   (Followers: 1)
npj Climate and Atmospheric Science     Open Access   (Followers: 4)
Open Atmospheric Science Journal     Open Access   (Followers: 4)
Open Journal of Modern Hydrology     Open Access   (Followers: 5)
Oxford Open Climate Change     Open Access   (Followers: 6)
Revista Iberoamericana de Bioeconomía y Cambio Climático     Open Access   (Followers: 1)
Russian Meteorology and Hydrology     Hybrid Journal   (Followers: 3)
Space Weather     Full-text available via subscription   (Followers: 27)
Studia Geophysica et Geodaetica     Hybrid Journal   (Followers: 1)
Tellus A     Open Access   (Followers: 21)
Tellus B     Open Access   (Followers: 20)
The Cryosphere (TC)     Open Access   (Followers: 8)
The Quarterly Journal of the Royal Meteorological Society     Hybrid Journal   (Followers: 31)
Theoretical and Applied Climatology     Hybrid Journal   (Followers: 13)
Tropical Cyclone Research and Review     Open Access   (Followers: 1)
Urban Climate     Hybrid Journal   (Followers: 4)
Weather and Climate Dynamics     Open Access   (Followers: 1)
Weather and Climate Extremes     Open Access   (Followers: 17)
Weather and Forecasting     Hybrid Journal   (Followers: 42)
Weatherwise     Hybrid Journal   (Followers: 18)
气候与环境研究     Full-text available via subscription   (Followers: 2)

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Similar Journals
Journal Cover
International Journal of Climate Change Strategies and Management
Journal Prestige (SJR): 0.353
Citation Impact (citeScore): 1
Number of Followers: 33  
 
Hybrid Journal Hybrid journal   * Containing 22 Open Access Open Access article(s) in this issue *
ISSN (Print) 1756-8692 - ISSN (Online) 1756-8706
Published by Emerald Homepage  [360 journals]
  • Impact of climate change on agricultural productivity: a combination of
           spatial Durbin model and entropy approaches

         This is an Open Access Article Open Access Article

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      Authors: Dongbei Bai , Lei Ye , ZhengYuan Yang , Gang Wang
      Abstract: Global climate change characterized by an increase in temperature has become the focus of attention all over the world. China is a sensitive and significant area of global climate change. This paper specifically aims to examine the association between agricultural productivity and the climate change by using China’s provincial agricultural input–output data from 2000 to 2019 and the climatic data of the ground meteorological stations. The authors used the three-stage spatial Durbin model (SDM) model and entropy method for analysis of collected data; further, the authors also empirically tested the climate change marginal effect on agricultural productivity by using ordinary least square and SDM approaches. The results revealed that climate change has a significant negative effect on agricultural productivity, which showed significance in robustness tests, including index replacement, quantile regression and tail reduction. The results of this study also indicated that by subdividing the climatic factors, annual precipitation had no significant impact on the growth of agricultural productivity; further, other climatic variables, including wind speed and temperature, had a substantial adverse effect on agricultural productivity. The heterogeneity test showed that climatic changes ominously hinder agricultural productivity growth only in the western region of China, and in the eastern and central regions, climate change had no effect. The findings of this study highlight the importance of various social connections of farm households in designing policies to improve their responses to climate change and expand land productivity in different regions. The study also provides a hypothetical approach to prioritize developing regions that need proper attention to improve crop productivity. The paper explores the impact of climate change on agricultural productivity by using the climatic data of China. Empirical evidence previously missing in the body of knowledge will support governments and researchers to establish a mechanism to improve climate change mitigation tools in China.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-10-05
      DOI: 10.1108/IJCCSM-02-2022-0016
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Drivers of climate variability and increasing water salinity impacts on
           the farmer’s income risk with future outlook mitigation

         This is an Open Access Article Open Access Article

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      Authors: Arshad Ahmad Khan , Sufyan Ullah Khan , Muhammad Abu Sufyan Ali , Aftab Khan , Yousaf Hayat , Jianchao Luo
      Abstract: The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries. The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios. The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region. In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-29
      DOI: 10.1108/IJCCSM-08-2021-0092
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Research on the emission reduction effects of carbon trading mechanism on
           power industry: plant-level evidence from China

         This is an Open Access Article Open Access Article

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      Authors: Yonghui Han , Shuting Tan , Chaowei Zhu , Yang Liu
      Abstract: Carbon trading mechanism has been adopted to foster the green transformation of the economy on a global scale, but its effectiveness for the power industry remains controversial. Given that energy-related greenhouse gas emissions account for most of all anthropogenic emissions, this paper aims to evaluate the effectiveness of this trading mechanism at the plant level to support relevant decision-making and mechanism design. This paper constructs a novel spatiotemporal data set by matching satellite-based high-resolution (1 × 1 km) CO2 and PM2.5 emission data with accurate geolocation of power plants. It then applies a difference-in-differences model to analyse the impact of carbon trading mechanism on emission reduction for the power industry in China from 2007 to 2016. Results suggest that the carbon trading mechanism induces 2.7% of CO2 emission reduction and 6.7% of PM2.5 emission reduction in power plants in pilot areas on average. However, the reduction effect is significant only in coal-fired power plants but not in gas-fired power plants. Besides, the reduction effect is significant for power plants operated with different technologies and is more pronounced for those with outdated production technology, indicating the strong potential for green development of backward power plants. The reduction effect is also more intense for power plants without affiliation relationships than those affiliated with particular manufacturers. This paper identifies the causal relationship between the carbon trading mechanism and emission reduction in the power industry by providing an innovative methodology for identifying plant-level emissions based on high-resolution satellite data, which has been practically absent in previous studies. It serves as a reference for stakeholders involved in detailed policy formulation and execution, including policymakers, power plant managers and green investors.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-21
      DOI: 10.1108/IJCCSM-06-2022-0074
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • “Can seawalls help American cities adapt to coastal
           flooding'”

         This is an Open Access Article Open Access Article

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      Authors: Jonghyun Yoo , Vaishnavi Sinha , Robert Mendelsohn
      Abstract: This study aims to combine information about sea level rise (SLR), the probability distribution of storm surge, a flood damage function and the value of property by elevation along the coast of selected cities to measure expected flood damage. The selected six cities all have nearby long-term tidal stations that can be used to estimate the probability distribution of floods. The model is calibrated to each city. The study then compares the cost of building higher seawalls today along the coast versus the benefit of each wall (the reduction in expected flood damage). The combination of coastal storms and SLR has led to extensive flood damage across American cities. This study creates a simple generic model that evaluates whether seawalls would be effective at addressing this flooding problem. The paper develops an approach that readily measures the expected flood benefits and costs of alternative coastal seawalls. The approach takes account of near term SLR and the probability distribution of storm surge. The model finds seawalls are effective only in cities where many buildings are in the 25-year flood plain. Cities with many buildings built on land below 2 m in elevation (the 25-year flood plain) have high expected flood damage from storms and SLR. Cities which already have many buildings in this flood plain would benefit from seawalls. Assuming seawalls are built above the high tide line, the optimal wall height that maximizes net benefits is between 0.9 to 1.2 m. These relatively low seawalls block 70%–83% of expected flood damage in these cities. Fair flood insurance is the least cost strategy for handling the remaining damages that overtop the optimal seawalls. The analysis evaluates whether or not to build a seawall the length of each city at high tide lines. However, the analysis also finds several long stretches of coast in two cities where a wall is not warranted because there are few vulnerable buildings. Future analyses should consider seawalls in more spatially detailed sections of each city. Each section could then be analyzed independently. Whether or not more complex hydrodynamic models are needed to evaluate coastal resilience planning should also be explored. Alternative solutions such as planned retreat and nature-based solutions should be compared with seawalls in future studies as well. Cities should be careful to avoid development in the 25-year flood plain because of high expected flood damage. Cities that have low elevation areas subject to frequent flooding should consider seawalls to reduce frequent flooding. Because they are very costly and have low expected benefits, high walls that can stop a one-hundred-year storm are generally not worth building. The analysis reveals that the most important factor determining the vulnerability of cities along the eastern coastline of the USA is the number of buildings built below 2 m in elevation (the 25-year flood plain). Cities should use zoning to discourage further development in the 25-year flood plain. Cities which already have many buildings in this flood plain would benefit from city-wide seawalls. Assuming these walls are built at mean high-high tide, the optimal height of current seawalls should be relatively modest – averaging about 0.9–1.2 m above ground. Using fair insurance for the remaining risk is less expensive than building taller walls. In particular, the cost of seawalls that protect against a major hurricane surge are over three times the expected benefit and should not be built. As decades pass and observed sea level progresses, seawalls and the boundary of the 25-year flood plain should be reevaluated. This paper develops a coastal flood model that combines SLR and the probability distribution of storm surges with the value of property by elevation to estimate the expected damage from storm surge. The model is relatively easy to calibrate making it a practical tool to guide city flood planning. The authors illustrate what insights such a model gives about coastal resilience to flooding across six cities along the Eastern US coastline.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-19
      DOI: 10.1108/IJCCSM-02-2022-0020
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Appraisal of climate change mitigation and adaptation regulatory
           frameworks in Ethiopia and their congruency with the UN climate change
           convention

         This is an Open Access Article Open Access Article

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      Authors: Bilate Bisare Bitire
      Abstract: The purpose of this paper is to critically investigate the Ethiopia’s climate change adaptation and mitigation regulatory frameworks and their congruency with the guiding principles under the United Nations (UN) Climate Convention, to show the alignment of the regulatory frameworks with the UN Climate Change rules. Rising temperatures, erratic rainfall distribution, recurrent droughts and floods require robust climate change mitigation and adaptation policies and effective implementation in the country. Through the doctrinal legal research method, the author has used a detailed analysis of primary sources, both national and international legislative enactments. Besides, the research has benefitted from secondary sources like research reports, online publications, scientific journals, international reports, books and journal articles. The findings reveal that in Ethiopia, there is no national climate change-specific policy and legislation. Although there are scattered sectoral climate-related policies and strategies, they are not consistent with the principles of the United Nations Framework Convention on Climate Change (UNFCCC). This study argues that having comprehensive specific climate change policy and legislative frameworks consistent with UNFCCC guiding principles could help to mitigate and adapt to the adverse effects of climate change in the country.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-07
      DOI: 10.1108/IJCCSM-03-2022-0036
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • An economic assessment of the impact of climate change on the Gambia’s
           agriculture sector: a CGE approach

         This is an Open Access Article Open Access Article

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      Authors: Christopher Belford , Delin Huang , Yosri Nasr Ahmed , Ebrima Ceesay , Lang Sanyang
      Abstract: Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are colossal. This study aims to establish a computable general equilibrium (CGE) model for The Gambia’s agriculture sector to examine the effects of climate change on crops, livestock and sea-level rise. This study used a CGE model with other climate change impact models to compute the impacts of climate change on The Gambia’s agriculture sector. The social accounting matrix calibrates the results from the various models, thereby generating the baseline results which exemplify a “steady-state” and policy shock results illustrating the medium- and long-term effects of climate change on the country’s agriculture sector. The baseline results indicate the status quo showing the neglect of the agriculture sector due to limited investment in the sector. Hence, the sector is the “hardest hit” sector as a result of climate change. When the model factored in climate change in the medium term (2055) and long term (2085), the macroeconomic indicators of gross domestic product, national savings, wages, disposable income and consumer price index deteriorated, elucidating the vulnerability of the economy to climate change. The consumption of groundnuts, cattle and fish will decline by 5%, 5% and 4%, respectively, in the long term. However, the production of all agricultural commodities will decline by an average of 35% for the same period. The results for international trade show that exportation would decline while importation will increase over time. The general price level for agricultural commodities would increase by 3% in 2055 and 5% in 2085. Generally, the results manifest the severity of climate change in the agriculture sector which will have a multiplier effect on the economy. The impact of climate change would result in agriculture and economic decline causing hunger, poverty and human misery. The caveat of this study revealed the nuances not captured by previous Gambian climate change studies, thus the novelty of the study.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-01
      DOI: 10.1108/IJCCSM-01-2022-0003
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Research on the synergies between low-carbon pilot city policy and
           high-speed railways in improving Chinese urban electricity efficiency

         This is an Open Access Article Open Access Article

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      Authors: Yu Chen , Di Jin , Changyi Zhao
      Abstract: Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse gas emissions and promoting sustainable human development. For many countries, taking China as an example, the electric power sector is the main contributor to the country’s carbon emissions, as well as a key sector for reducing carbon emissions and achieving carbon neutrality. The low-carbon transition of the power sector is of great significance to the long-term low-carbon development of the economy. Therefore, on the one hand, it is necessary to improve the energy supply structure on the supply side and increase the proportion of new energy in the total power supply. On the other hand, it is necessary to improve energy utilization efficiency on the demand side and control the total primary energy consumption by improving energy efficiency, which is the most direct and effective way to reduce emissions. Improving the utilization efficiency of electric energy and realizing the low-carbon transition of the electric power industry requires synergies between the government and the market. The purpose of this study is to investigate the individual and synergistic effects of China’s low-carbon policy and the opening of urban high-speed railways (HSRs) on the urban electricity consumption efficiency, measured as electricity consumption per unit of gross domestic product (GDP). This study uses a panel of 289 Chinese prefecture-level cities from the years 1999–2019 as the sample and uses the time-varying difference-in-difference method to test the relationship between HSR, low-carbon pilot cities and urban electricity consumption efficiency. In addition, the instrumental variable method is adopted to make a robustness check. Empirical results show that the low-carbon pilot policy and the HSR operation in cities would reduce the energy consumption per unit of GDP, and synergies occur in both HSR operated and low-carbon pilot cities. This study has limitations that would provide possible starting points for future studies. The first limitation is the choice of the proxy variable of government and market factors. The second limitation is that the existing data is only about whether the high-speed rail is opened or not and whether it is a low-carbon pilot city, and there is no more informative data to combine the two aspects. The findings of this study can inform policymakers and regulators about the effects of low-carbon pilot city policies. In addition, the government should consider market-level factors in addition to policy factors. Only by combining various influencing factors can the efficient use of energy be more effectively achieved so as to achieve the goal of carbon neutrality. From the social perspective, the findings indicate that improving energy utilization is dependent on the joint efforts of the government and market. The study provides quantitative evidence to assess the synergic effect between government and the market in the low-carbon transition of the electric power industry. Particularly, to the best of the authors’ knowledge, it is the first to comprehend the role of the city low-carbon pilot policy and the construction of HSR in improving electricity efficiency.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-09-01
      DOI: 10.1108/IJCCSM-07-2022-0078
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Insurance for climate change and environmental risk: a bibliometric review

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      Authors: Haitham Nobanee , Mehroz Nida Dilshad , Omar Abu Lamdi , Bashaier Ballool , Saeed Al Dhaheri , Noura AlMheiri , Abdalla Alyammahi , Sultan Salah Alhemeiri
      Abstract: This study aims to examine the research output on climate change, environmental risks and insurance from 1986 to 2020, thereby revealing the development of the literature through collaborative networks. The relationship between insurance, climate change and environmental threats has gained research attention. This study describes the interaction between insurance, climate change and environmental risk. This study is a bibliometric analysis of the literature and assessed the current state of science. A total of 97 academic papers from top-level journals listed in the Scopus database are shortlisted. The understanding of climate change, environmental risks and insurance is shaped and enhanced through the collaborative network maps of researchers. Their reach expands across different networks, core themes and streams, as these topics develop. Data for this study were generated from English-written journal articles listed in the Scopus database only; subsequently, this study was representative of high-quality papers published in the areas of climate change, environmental risks and insurance. The results of this study can be useful to academic researchers to aid their understanding of climate change, environmental risks and insurance research development, to identify the current context and to develop a future research agenda. The findings of this study can improve the understanding of industry practitioners about climate change and global warming challenges, and how insurance can be used as a tool to address such challenges. This study is a novel attempt. To the best of the authors’ knowledge, this is one of the first studies to better understand climate change, environmental risks and insurance as a research topic by examining its evolution in an academic context through visualization, coupling and bibliometric analysis. This bibliometric study is unique in reviewing climate change literature and providing a future research agenda. Using bibliometric data, this study addressed the technical aspects and the value it adds to actual practice. Bibliometric indicators quantitatively and qualitatively evaluate emerging disciplinary progress in this topic.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-30
      DOI: 10.1108/IJCCSM-08-2021-0097
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The evolution of electric technology in the context of China’s
           low-carbon transformation: a patent analysis

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      Authors: Ruifeng Hu , Weiqiao Xu , Yalin Yang
      Abstract: Owing to increased energy demands, China has become the world’s top CO2 emitter, with electricity generation accounting for the majority of emissions. Therefore, the Chinese Government aspires to achieve a low-carbon transformation of the electric industry by enhancing its green innovation capacity. However, little attention has been paid to the green development of electric technology. Thus, this paper aims to uncover the spatiotemporal evolution of electric technology in the context of China’s low-carbon transformation through patent analysis. Using granted green invention patent data for China’s electric industry between 2000 and 2021, this paper conducted an exploratory, spatial autocorrelation and time-varying difference-in-differences (DID) analysis to reveal the landscape of electric technology. Exploratory analysis shows that the average growth rate of electric technology is 8.1%, with spatial heterogeneity, as there is slower growth in the north and west and faster growth in the south and east. In addition, electric technology shows spatial clustering in local areas. Finally, the time-varying DID analysis provides positive evidence that low-carbon policies improve the green innovation capacity of electric technology. The different effects of the low-carbon pilot policy (LCPC) on R&D subjects and the LCPC’s effectiveness in enhancing the value of patented technology were not revealed. This paper reveals the spatiotemporal evolutionary characteristics of electric technology in mainland China. The results can help the Chinese Government clarify how to carry out innovative development in the electric industry as part of the low-carbon transformation and provide a theoretical basis and research direction for newcomers in this field.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-26
      DOI: 10.1108/IJCCSM-04-2022-0050
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Could green finance facilitate low-carbon transformation of power
           generation' Some evidence from China

         This is an Open Access Article Open Access Article

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      Authors: Ziqiang Lin , Xianchun Liao , Haoran Jia
      Abstract: The decarbonization of power generation is key to achieving carbon neutrality in China by the end of 2060. This paper aims to examine how green finance influences China’s low-carbon transition of power generation. Using a provincial panel data set as an empirical study example, green finance is assessed first, then empirically analyses the influences of green finance on the low-carbon transition of power generation, as well as intermediary mechanisms at play. Finally, this paper makes relevant recommendations for peak carbon and carbon neutrality in China. To begin with, an evaluation index system with five indicators is constructed with entropy weighting method. Second, this paper uses the share of coal-fired power generation that takes in total power generation as an inverse indicator to measure the low-carbon transition in power generation. Finally, the authors perform generalized method of moments (GMM) econometric model to examine how green finance influences China’s low-carbon transition of power generation by taking advantage of 30 provincial panel data sets, spanning the period of 2007–2019. Meanwhile, the implementation of the 2016 Guidance on Green Finance is used as a turning point to address endogeneity using difference-in-difference method (DID). The prosperity of green finance can markedly reduce the share of thermal power generation in total electricity generation, which implies a trend toward China’s low-carbon transformation in the power generation industry. Urbanization and R&D investment are driving forces influencing low-carbon transition, while economic development hinders the low-carbon transition. The conclusions remain robust after a series of tests such as the DID method, instrumental variable method and replacement indicators. Notably, the results of the mechanism analysis suggest that green finance contributes to low-carbon transformation in power generation by reducing secondary sectoral share, reducing the production of export products, promoting the advancement of green technologies and expanding the proportion of new installed capacity of renewable energy. This paper puts forward relevant suggestions for promoting the green finance development with countermeasures such as allowing low interest rate for renewable energy power generation, facilitating market function and using carbon trade market. Additional policy implication is to promote high quality urbanization and increase R&D investment while pursuing high quality economic development. The last implication is to develop mechanism to strengthen the transformation of industrial structure, to promote high quality trade from high carbon manufactured products to low-carbon products, to stimulate more investment in green technology innovation and to accelerate the greening of installed structure in power generation industry. This paper first attempts to examine the low-carbon transition in power generation from a new perspective of green finance. Second, this paper analyses the mechanism through several aspects: the share of secondary industry, the output of exported products, advances in green technology and the share of renewable energy in new installed capacity, which has not yet been done. Finally, this study constructs a system of indicators to evaluate green finance, including five indicators with entropy weighting method. In conclusion, this paper provides scientific references for sustainable development in China, and meanwhile for other developing countries with similar characteristics.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-16
      DOI: 10.1108/IJCCSM-03-2022-0039
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Study on the influence of carbon trading pilot policy on energy efficiency
           in power industry

         This is an Open Access Article Open Access Article

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      Authors: Shiqian Hu , Dan Li , Xiaodan Wang
      Abstract: To cope with climate change and achieve the dual carbon goal, China has actively promoted the implementation of carbon trading pilot policy, among which the power industry plays an important role in China’s carbon emission reduction work. The purpose of this paper is to study the influence of carbon trading policy on the energy efficiency of power industry and achieve the comprehensive goal of carbon emission reduction, carbon peak and carbon neutralization. This paper constructs the difference-in-differences model based on 2012–2019 provincial data to study the impact of carbon trading policy on energy efficiency in the power industry and its effect path. Heterogeneity analysis was conducted to compare the effects of carbon trading policy in eastern, central and western regions as well as at different levels of power structures. Carbon trading policy can significantly improve the energy efficiency of the power industry, and the policy effect is more significant in eastern and western regions and areas with high power structure. Mechanism analysis shows that carbon trading policy mainly influences the energy efficiency of power industry by environmental protection investment, power consumption demand and industrial structure. This paper uses provincial panel data to deeply study the influence of carbon trading policy on energy efficiency of the power industry and its effect path. By constructing the difference-in-differences model, this paper empirically analyzes the governance effect of carbon trading policy. Meanwhile, it controls individual and time effects to solve the endogeneity problem prevalent in previous literature.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-04
      DOI: 10.1108/IJCCSM-04-2022-0046
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Analysis of nonlinear evolution mechanism of power technology progress
           under the constraints of net-zero carbon dioxide emissions in China

         This is an Open Access Article Open Access Article

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      Authors: Huaihua Zheng
      Abstract: Striving to achieve the goal of carbon neutrality before 2060 indicates that China, as the most extensive power system in the world and a country based on coal power, is imperative to improve the technical level of electric power utilization. This paper aims to explore the nonlinear evolution mechanism of power technology progress under the constraints of net-zero carbon dioxide emissions in China. This paper, first, based on China’s provincial panel data from 2000 to 2019, uses global direction distance function to measure power technological progress. Second, the threshold regression model is used to explore the nonlinear relationship between carbon emission reduction constraints on electric power technological progress. There is a significant inverted U-shaped relationship between China’s provincial carbon emission reduction constraints and electric power technological progress. Meanwhile, the scale of regional economic development has a significant moderating effect on the relationship between carbon emission reduction constraints and power technological progress. This paper puts forward targeted suggestions for perfecting regional carbon emission reduction policy and improving electric power technological progress. Based on the global directional distance function, this paper extracts power as a production factor in total factor productivity and calculates the total factor electric power technological progress. This paper objectively reveals the influence mechanism of carbon emission reduction constraints on electric power technology progress based on the threshold regression model.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-07-27
      DOI: 10.1108/IJCCSM-03-2022-0030
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Risk allocation for energy performance contract from the perspective of
           incomplete contract: a study of commercial buildings in China

         This is an Open Access Article Open Access Article

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      Authors: Shiyu Wan , Yisheng Liu , Grace Ding , Goran Runeson , Michael Er
      Abstract: This article aims to establish a dynamic Energy Performance Contract (EPC) risk allocation model for commercial buildings based on the theory of Incomplete Contract. The purpose is to fill the policy vacuum and allow stakeholders to manage risks in energy conservation management by EPCs to better adapt to climate change in the building sector. The article chooses a qualitative research approach to depict the whole risk allocation picture of EPC projects and establish a dynamic EPC risk allocation model for commercial buildings in China. It starts with a comprehensive literature review on risks of EPCs. By modifying the theory of Incomplete Contract and adopting the so-called bow-tie model, a theoretical EPC risk allocation model is developed and verified by interview results. By discussing its application in the commercial building sector in China, an operational EPC three-stage risk allocation model is developed. This study points out the contract incompleteness of the risk allocation for EPC projects and offered an operational method to guide practice. The reasonable risk allocation between building owners and Energy Service Companies can realize their bilateral targets on commercial building energy-saving benefits, which makes EPC more attractive for energy conservation. Existing research focused mainly on static risk allocation. Less research was directed to the phased and dynamic risk allocation. This study developed a theoretical three-stage EPC risk allocation model, which provided the theoretical support for dynamic EPC risk allocation of EPC projects. By addressing the contract incompleteness of the risk allocation, an operational method is developed. This is a new approach to allocate risks for EPC projects in a dynamic and staged way.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-07-04
      DOI: 10.1108/IJCCSM-11-2021-0130
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the role of environmental literacy and social norms in farmers'
           LMTT adoption: evidence from China

         This is an Open Access Article Open Access Article

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      Authors: Songqing Li , Xuexi Huo , Ruishi Si , Xueqian Zhang , Yumeng Yao , Li Dong
      Abstract: Climatic changes caused by greenhouse gases (GHGs) emissions are an urgent challenge for all regions around the globe while the livestock sector is an important source of GHGs emissions. The adoption of low-carbon manure treatment technology (LMTT) by farmers is emerging as an effective remedy to neutralize the carbon emissions of livestock. This paper aims to incorporate environmental literacy and social norms into the analysis framework, with the aim of exploring the impact of environmental literacy and social norms on farmers' adoption of LMTT and finally reduce GHGs emission and climate effects. This research survey is conducted in Hebei, Henan and Hubei provinces of China. First, this research measures environmental literacy from environmental cognition, skill and responsibility and describes social norms from descriptive and imperative social norms. Second, this paper explores the influence of environmental literacy and social norms on the adoption of LMTT by farmers using the logit model. Third, Logit model's instrumental approach, i.e. IV-Logit, is applied to address the simultaneous biases between environmental skill and farmers’ LMTT adoption. Finally, the research used a moderating model to analyze feasible paths of environmental literacy and social norms that impact the adoption of LMTT by farmers. The results showed that environmental literacy and social norms significantly and positively affect the adoption of LMTT by farmers. In particular, the effects of environmental literacy on the adoption of LMTT by farmers are mainly contributed by environmental skill and responsibility. The enhancement of social norms on the adoption of LMTT by farmers is mainly due to the leading role of imperative social norms. Meanwhile, if the endogeneity caused by the reverse effect between environmental skill and farmers’ LMTT adoption is dealt with, the role of environmental skill will be weakened. Additionally, LMTT technologies consist of energy and resource technologies. Compared to energy technology, social norms have a more substantial moderating effect on environmental literacy, affecting the adoption of farmer resource technology. To the best of the authors’ knowledge, a novel attempt is made to examine the effects of environmental literacy and social norms on the adoption of LMTT by farmers, with the objective of identifying more effective factors to increase the intensity of LMTT adoption by farmers.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-06-17
      DOI: 10.1108/IJCCSM-12-2021-0138
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A decision model for sustainable informal entrepreneurship in cities
         This is an Open Access Article Open Access Article

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      Authors: Eijaz Ahmed Khan , Md Maruf Hossan Chowdhury , Pradip Royhan , Sunaina Gowan , Mohammed Mizanur Rahman , Mehregan Mahdavi
      Abstract: Sustainable development goals and the climate change agenda are becoming widely promoted topics of research for the 21st century. The role of cities is increasingly recognised as central to investigating these topics. Yet, the field of informal sector entrepreneurship which so many urban entrepreneurs in developing countries depend upon is seldom considered. To redress this imbalance, this study aims to develop a decision model in accordance with institutional theory (IT) and resource dependency theory (RDT) for city managers to deploy. The model identifies and prioritises optimal strategies to address the three areas of sustainability requirements environment society and economy within the study context of Bangladesh. This study used a mixed methods research design. In the qualitative part, the authors identified the three areas of sustainability requirements (i.e. environment, society and economy) and their corresponding strategies involving the informal sector that operates within the urban environment. In the quantitative part, the authors applied fuzzy quality function deployment (QFD) integrated with the 0-1 non-linear optimisation technique to identify optimal strategies. The findings show that strategies such as legitimate frameworks, waste management, allocation of urban public space and training programs contribute in important ways to the three areas of sustainability requirements. The proposed decision model will assist policy-makers and city managers to prioritise sustainability requirements and implement optimal strategies to address those requirements. Through the integration of IT and RDT, the decision model developed in this study is unique in its application to urban-based informal entrepreneurship in the context of developing countries. The effective application of the fuzzy QFD approach and the optimisation model in the context of urban-based informal entrepreneurship also offers unique contributions to the field of study.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-06-01
      DOI: 10.1108/IJCCSM-02-2022-0026
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Near-zero carbon stochastic dispatch optimization model for
           power-to-gas-based virtual power plant considering information gap status
           theory

         This is an Open Access Article Open Access Article

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      Authors: Liwei Ju , Zhe Yin , Qingqing Zhou , Li Liu , Yushu Pan , Zhongfu Tan
      Abstract: This study aims to form a new concept of power-to-gas-based virtual power plant (GVPP) and propose a low-carbon economic scheduling optimization model for GVPP considering carbon emission trading. In view of the strong uncertainty of wind power and photovoltaic power generation in GVPP, the information gap decision theory (IGDT) is used to measure the uncertainty tolerance threshold under different expected target deviations of the decision-makers. To verify the feasibility and effectiveness of the proposed model, nine-node energy hub was selected as the simulation system. GVPP can coordinate and optimize the output of electricity-to-gas and gas turbines according to the difference in gas and electricity prices in the electricity market and the natural gas market at different times. The IGDT method can be used to describe the impact of wind and solar uncertainty in GVPP. Carbon emission rights trading can increase the operating space of power to gas (P2G) and reduce the operating cost of GVPP. This study considers the electrical conversion and spatio-temporal calming characteristics of P2G, integrates it with VPP into GVPP and uses the IGDT method to describe the impact of wind and solar uncertainty and then proposes a GVPP near-zero carbon random scheduling optimization model based on IGDT. This study designed a novel structure of the GVPP integrating P2G, gas storage device into the VPP and proposed a basic near-zero carbon scheduling optimization model for GVPP under the optimization goal of minimizing operating costs. At last, this study constructed a stochastic scheduling optimization model for GVPP.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-04-19
      DOI: 10.1108/IJCCSM-02-2022-0018
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Carbon footprint of maize planting under intensive subsistence cultivation
           in South Korea

         This is an Open Access Article Open Access Article

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      Authors: Zhirun Li , Yinsheng Yang , Namho So , Jong-In Lee
      Abstract: During the planting process, agricultural products produce large amounts of greenhouse gas (GHG) emissions. This has placed tremendous pressure on sustainable global development. Many countries and regions in the world have adopted intensive subsistence cultivation methods when planting maize; however, limited studies exist on these methods. The main purpose of this research is to show the impact of climate change on maize yields and carbon footprint (CF) in South Korea over 10 years, find the proper operating method and promote the advanced combination of inputs for the sustainable development of maize farmers. This study used survey data from the South Korea Rural Development Administration of 2010, 2014 and 2019 to estimate the CF of maize planting under intensive subsistence cultivation. Life-cycle assessment was used to determine the CF. Farmers were grouped according to significant differences in yield and GHG emissions. Linear regression was used to measure the dependence of the main contributors on the CF production and carbon efficiency. In South Korean maize planting, N in chemical fertiliser was the most significant contributor to the CF and organic fertiliser was the most significant input. The use of chemical and organic fertilisers significantly affects the production of the CF and carbon efficiency. Households in the high-yield and low-GHG emission groups are more sustainable because they generate the least GHG when producing and earning through maize cultivation. Globally, maize production in South Korea has a relatively low CF and maize production produces fewer GHG. This study provides information for policymakers to determine key operational options for reducing GHG emissions using intensive subsistence cultivation of maize production in South Korea and other countries.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-04-12
      DOI: 10.1108/IJCCSM-12-2021-0141
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Farmer’s environmental orientation as an antecedent to the intention for
           adopting conservational agriculture practices: the moderation analysis

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      Authors: Syed Hussain Mustafa Gillani , Malkah Noor Kiani , Saifullah Abid
      Abstract: Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries. Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis. The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship. Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services. This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-03-18
      DOI: 10.1108/IJCCSM-09-2021-0106
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the influencing factors of environmental deterioration: evidence
           from China employing ARDL–VECM method with structural breaks

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      Authors: Hongwei Wang
      Abstract: The environmental deterioration has become one of the most economically consequential and charged topics. Numerous scholars have examined the driving factors failing to consider the structural breaks. This study aims to explore sustainability using the per capita ecological footprints (EF) as an indicator of environmental adversities and controlling the resources rent [(natural resources (NR)], labor capital (LC), urbanization (UR) and per capita economic growth [gross domestic product (GDP)] of China. Through the analysis of the long- and short-run effects with an autoregressive distributed lag model (ARDL), structural break based on BP test and Granger causality test based on vector error correction model (VECM), empirical evidence is provided for the policies formulation of sustainable development. The long-run equilibrium between the EF and GDP, NR, UR and LC is proved. In the long run, an environmental Kuznets curve (EKC) relationship existed, but China is still in the rising stage of the curve; there is a positive relationship between the EF and NR, indicating a resource curse; the UR is also unsustainable. The LC is the most favorable factor for sustainable development. In the short term, only the lagged GDP has an inhibitory effect on the EF. Besides, all explanatory variables are Granger causes of the EF. A novel attempt is made to examine the long-term equilibrium and short-term dynamics under the prerequisites that the structural break points with its time and frequencies were examined by BP test and ARDL and VECM framework and the validity of the EKC hypothesis is tested.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-03-08
      DOI: 10.1108/IJCCSM-10-2021-0114
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Influence of stratospheric aerosol geoengineering on temperature mean and
           precipitation extremes indices in Africa

         This is an Open Access Article Open Access Article

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      Authors: Salomon Obahoundje , Vami Hermann N'guessan Bi , Arona Diedhiou , Ben Kravitz , John C. Moore
      Abstract: Three Coupled Model Intercomparison Project Phase 5 models involved in the G4 experiment of the Geoengineering Model Inter-comparison Project (GeoMIP) project were used to investigate the impact of stratospheric aerosol injection (SAI) on the mean surface air temperature and precipitation extremes in Africa. This impact was examined under G4 and Representative Concentration Pathway (RCP) 4.5 scenarios on the total precipitation, the number of rainy days (RR1) and of days with heavy rainfall (R20 mm), the rainfall intensity (SDII), the maximum length of consecutive wet (CWD) and dry (CDD) days and on the maximum rainfall in five consecutive days (Rx5day) across four regions: Western Africa (WAF), Eastern Africa (EAF), Northern Africa and Southern Africa (SAF). During the 50 years (2020–2069) of SAI, mean continental warming is −0.40°C lower in G4 than under RCP4.5. During the post-injection period (2070–2090), the temperature continues to increase, but at a lower rate (−0.19°C) than in RCP4.5. During SAI, annual rainfall in G4 is significantly greater than in RCP4.5 over the high latitudes (especially over SAF) and lower over the tropics. The termination of SAI leads to a significant increase of rainfall over Sahel and EAF and a decrease over SAF and Guinea Coast (WAF). Compared to RCP4.5, SAI will contribute to reducing significantly regional warming but with a significant decrease of rainfall in the tropics where rainfed agriculture account for a large part of the economies. After the SAI period, the risk of drought over the extratropical regions (especially in SAF) will be mitigated, while the risk of floods will be exacerbated in the Central Sahel. To meet the Paris Agreement, African countries will implement mitigation measures to contribute to keep the surface air temperature below 2°C. Geoengineering with SAI is suggested as an option to meet this challenge, but its implication on the African climate system needs a deep investigation in the aim to understand the impacts on temperature and precipitation extremes. To the best of the authors’ knowledge, this study is the first to investigate the potential impact of SAI using the G4 experiment of GeoMIP on temperature and precipitation extremes of the African continent.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-11
      DOI: 10.1108/IJCCSM-03-2021-0028
      Issue No: Vol. 14 , No. 4 (2022)
       
  • Climate change and its impact on rice acreage in high-latitude regions of
           China: an estimation by machine learning

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      Authors: Yan Yu , Qingsong Tian , Fengxian Yan
      Abstract: Fewer researchers have investigated the climatic and economic drivers of land-use change simultaneously and the interplay between drivers. This paper aims to investigate the nonlinear and interaction effects of price and climate variables on the rice acreage in high-latitude regions of China. This study applies a multivariate adaptive regression spline to characterize the effects of price and climate expectations on rice acreage in high-latitude regions of China from 1992 to 2017. Then, yield expectation is added into the model to investigate the mechanism of climate effects on rice area allocation. The results of importance assessment suggest that rice price, climate and total agricultural area play an important role in rice area allocation, and the importance of temperature is always higher than that of precipitation, especially for minimum temperature. Based on the estimated hinge functions and coefficients, it is found that total agricultural area has strong nonlinear and interaction effects with climate and price as forms of third-order interaction. However, the order of interaction terms reduces to second order after absorbing the expected yield. Additionally, the marginal effects of driven factors are calculated at different quantiles. The total area shows a positive and increasing marginal effect with the increase of total area. But the positive impact of price on the rice area can only be observed when price reached 50% or higher quantiles. Climate variables also show strong nonlinear marginal effects, and most climatic effects would disappear or be weakened once absorbing the expected rice yield. Expected yield is an efficient mechanism to explain the correlation between crop area and climate variables, but the impact of minimum temperature cannot be completely modeled by the yield expectation. To the best of the authors’ knowledge, this is the first study to examine the nonlinear response of land-use change to climate and economic in high-latitude regions of China using the machine learning method.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-08-04
      DOI: 10.1108/IJCCSM-11-2020-0124
      Issue No: Vol. 14 , No. 4 (2022)
       
  • An analysis of climate change and health hazards: results from an
           international study

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      Authors: Walter Leal Filho , Linda Ternova , Muhammad Muddassir Fayyaz , Ismaila Rimi Abubakar , Marina Kovaleva , Felix Kwabena Donkor , Samuel Weniga Anuga , Abraham R. Matamanda , Ilija Djekic , Ibrahim Abatcha Umar , Felicia Motunrayo Olooto , Maria Meirelles , Gustavo J. Nagy , Julia May , Marta May , Eromose Ebhuoma , Halima Begum
      Abstract: The interconnections between climate change and health are well studied. However, there is a perceived need for studies that examine how responses to health hazards (e.g. cardiovascular diseases, ozone layer effects, allergens, mental health and vector-borne diseases) may assist in reducing their impacts. The purpose of this paper is to review the evidence on health responses to climate hazards and list some measures to address them. A mixed literature review, bibliometric analysis and an original online survey were undertaken on 140 participants from 55 countries spread across all geographical regions. The bibliometric analysis identified that most climate-related health hazards are associated with extreme weather events. However, only one-third of the investigated papers specifically analysed the connections between climate change and health hazards, revealing a thematic gap. Also, although Africa is highly affected by climate change, only 5% of the assessed studies focused on this continent. Many respondents to the survey indicated “heat distress” as a significant vulnerability. The survey also identified social determinants relevant to climate-induced health vulnerabilities, such as socioeconomic and environmental factors, infrastructure and pre-existing health conditions. Most respondents agree that policies and regulations are the most effective adaptation tools to address the public health hazards triggered by climate change. This paper presents some suggestions for optimising public health responses to health hazards associated with climate change, such as the inclusion of climate-related components in public health policies, setting up monitoring systems to assess the extent to which specific climate events may pose a health threat, establishing plans to cope with the health implications of heatwaves, increased measures to protect vulnerable groups and education and awareness-raising initiatives to reduce the overall vulnerability of the population to climate-related health hazards. These measures may assist the ongoing global efforts to understand better – and cope with – the impacts of climate change on health. The combination of a literature review, bibliometric analysis and an original world survey identified and presented a wide range of responses.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-07-15
      DOI: 10.1108/IJCCSM-08-2021-0090
      Issue No: Vol. 14 , No. 4 (2022)
       
  • Promoting uptake and integration of climate smart agriculture
           technologies, innovations and management practices into policy and
           practice in Nigeria

         This is an Open Access Article Open Access Article

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      Authors: Chinwoke Clara Ifeanyi-Obi , Fadlullah Olayiwola Issa , Sidiqat Aderinoye-Abdulwahab , Adefunke Fadilat O. Ayinde , Ogechi Jubilant Umeh , Emmanuel Bamidele Tologbonse
      Abstract: This study aims to explore possible ways to promote uptake and integration of climate-smart agriculture (CSA)-Technologies, Innovations and Management Practices (TIMPS) into policy and practice in Nigeria through the development of actionable roadmaps to facilitate the process. Two hundred and fifty-two stakeholders for the policy discourse and survey were purposively drawn from both government and private agencies, NGOs and community-based associations from the six geo-political zones of the country. Data collection was done using a mixed method comprising questionnaire administration, in-depth interviews and panel discussion. Data collected was summarised using descriptive statistics. The major findings were lack of existing policies on CSA, lack of farmers’ awareness of CSA-TIMPs, neglect of extension programmes that can help to enlighten farmers on the importance of CSA and insufficient extension personnel to cater for farmers’ needs. Challenges to CSA-TIMPs uptake in Nigeria were: insufficient funding and support by government in programme planning and implementation, policy inconsistencies and poor farmers’ attitude and resistance to change. This research will facilitate CSA uptake and integration through the provision of data for informed decision and action by the responsible agencies. Suggested actionable roadmaps across the zones were robust awareness campaign and advocacy on uptake of CSA-TIMPs through e-extension, community TV/radio in local dialects; revitalisation of policy programmes such as monthly meetings should be reintroduced and creation of CSA Departments/Stations in each state; increased budget allocation to a minimum of 10% for agriculture, revitalisation of Researchers-Extension Agents-Farmers Linkage, employment of qualified extension agents and retraining of extension agents.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-06-17
      DOI: 10.1108/IJCCSM-09-2021-0101
      Issue No: Vol. 14 , No. 4 (2022)
       
  • Rice farmers’ perceptions and response to climate variability, and
           determinants of adaptation strategies in the Republic of Benin

         This is an Open Access Article Open Access Article

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      Authors: Charlemagne Dossou Seblodo Judes Gbemavo , Joelle Toffa , Cyrille Tchakpa , Yêyinou Laura Estelle Loko , Gustave Djedatin , Eben-Ezer Ewedje , Azize Orobiyi , Paulin Sedah , Francois Sabot
      Abstract: The purpose of this study is to evaluate rice farmers’ perceptions on the manifestations of the climate change and identify efficient strategies and determinants of adoption of these strategies in the Republic of Benin. Surveys were conducted using participatory research appraisal tools and techniques, such as direct observation, individual interviews and field visits through a questionnaire for data collection. A total of 418 rice farmers across 39 villages located in the three climatic zones of the Republic of Benin were interviewed. Farmers’ perceptions, temperature from 1952 to 2018 and rainfall from 1960 to 2018 data obtained from meteorological stations were analysed using descriptive and inferences statistics. All the surveyed farmers were aware of climate change and perceived diverse manifestations including the delay in rainfall regarded as the most important risk. They perceived that deforestation, no respect for the laws of nature and desacralization of morals, no respect for cultures and the traditional rainmakers are the main causes of climate change. The disruption of agricultural calendar and the reduction in rice yield were perceived as the main impacts of climate change in rice production. They used various approaches to adapt and mitigate climate change effects. The adoption of adaptation strategies was influenced either negatively or positively by the household size, land size, education level, membership to rice farmer’s association, training in rice production, access to extension services, use of improved varieties and the location in climatic zones. For each climatic zone of the Republic of Benin, weather data were collected in only one meteorological station. The study showed that it is important to educate rice farmers on the scientific causes of climate change for better resilience. There is an urgent need to train rice farmers in irrigation and water management techniques to cope with climate variability. To promote irrigation, the authors suggest the establishment of a subsidy and credit mechanism by the government. Factors that influenced adoption of efficient adaptation strategies to climate events must be taken into account for future adaptation policies in the Republic of Benin. This study provided an overview of the perceptions and adaptations of rice farmers along the climatic gradient in the Republic of Benin. Therefore, the knowledge of the determining factors of the adaptation strategies used by rice farmers could be used in the setting up of effective climate change resilience policies in Benin.
      Citation: International Journal of Climate Change Strategies and Management
      PubDate: 2022-05-17
      DOI: 10.1108/IJCCSM-06-2021-0059
      Issue No: Vol. 14 , No. 4 (2022)
       
  • International Journal of Climate Change Strategies and Management

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